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Density link-based methods for clustering web pages
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AI
DOI：10.1016/j.dss.2009.04.002.png)
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Abstract
En 中文
World Wide Web is a huge information space, making it a valuable resource for decision making. However, it should be effectively managed for such a purpose. One important management technique is clustering the web data. In this paper, we propose sonic developments in Clustering methods to achieve higher qualities. At first we study a new density based method adapted for hierarchical clustering of web documents. Then utilizing the hyperlink structure of web, we propose a new method that incorporates density concepts with web graph. These algorithms have the preference of low complexity and as experimental results reveal, the resultant clusters have high quality. (C) 2009 Elsevier B.V. All rights reserved.
Keywords:
Web clustering
Density based clustering
Hyperlink structure
Hierarchical clustering
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